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We show how it is possible to generate multivariate data which have moments arbitrary close to the desired ones. They are generated as linear combinations of variables with known theoretical moments. It is shown how to derive the weights of the linear combinations in both the univariate and the...
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transitions ; Structural breaks ; Unit roots ; LSDV estimation ; Central limit theorem …
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; Evolutionary game theory ; Evolutionary Stability ; Learning in games ; Belief learning ; Reinforcement learning …
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This paper examines aggregate savings in a general equilibrium model where infinitely lived households face volatile (and possibly uncertain) income paths, hold a risk-free asset, and face a liquidity constraint. I first show that the equilibrium capital stock in an economy without uncertainty,...
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